Representation learning with contrastive predictive coding A Oord, Y Li, O Vinyals arXiv preprint arXiv:1807.03748, 2018 | 8389 | 2018 |
Deepmind control suite Y Tassa, Y Doron, A Muldal, T Erez, Y Li, DL Casas, D Budden, ... arXiv preprint arXiv:1801.00690, 2018 | 982* | 2018 |
Parallel wavenet: Fast high-fidelity speech synthesis A Oord, Y Li, I Babuschkin, K Simonyan, O Vinyals, K Kavukcuoglu, ... International conference on machine learning, 3918-3926, 2018 | 960 | 2018 |
Model-free episodic control C Blundell, B Uria, A Pritzel, Y Li, A Ruderman, JZ Leibo, J Rae, ... arXiv preprint arXiv:1606.04460, 2016 | 269 | 2016 |
Low bit-rate speech coding with VQ-VAE and a WaveNet decoder C Gârbacea, A van den Oord, Y Li, FSC Lim, A Luebs, O Vinyals, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 120 | 2019 |
Self-supervised learning with kernel dependence maximization Y Li, R Pogodin, DJ Sutherland, A Gretton Advances in Neural Information Processing Systems 34, 15543-15556, 2021 | 58 | 2021 |
Vector quantized models for planning S Ozair, Y Li, A Razavi, I Antonoglou, A Van Den Oord, O Vinyals International Conference on Machine Learning, 8302-8313, 2021 | 43 | 2021 |
Procedural generalization by planning with self-supervised world models A Anand, J Walker, Y Li, E Vértes, J Schrittwieser, S Ozair, T Weber, ... arXiv preprint arXiv:2111.01587, 2021 | 27 | 2021 |
Efficient conditionally invariant representation learning R Pogodin, N Deka, Y Li, DJ Sutherland, V Veitch, A Gretton arXiv preprint arXiv:2212.08645, 2022 | 10 | 2022 |
Four-dimensional modelling on Tottenham court road station, London, UK Y Li, J Stephens, A Ryba Proceedings of the Institution of Civil Engineers-Civil Engineering 167 (5 …, 2014 | 8 | 2014 |
Investigating the role of model-based learning in exploration and transfer JC Walker, E Vértes, Y Li, G Dulac-Arnold, A Anand, T Weber, JB Hamrick International Conference on Machine Learning, 35368-35383, 2023 | 5 | 2023 |
Where should i spend my flops? efficiency evaluations of visual pre-training methods S Koppula, Y Li, E Shelhamer, A Jaegle, N Parthasarathy, R Arandjelovic, ... arXiv preprint arXiv:2209.15589, 2022 | 5 | 2022 |
Sequential Learning Of Neural Networks for Prequential MDL J Bornschein, Y Li, M Hutter arXiv preprint arXiv:2210.07931, 2022 | 3 | 2022 |
Denoising Autoregressive Representation Learning Y Li, J Bornschein, T Chen arXiv preprint arXiv:2403.05196, 2024 | | 2024 |
Transformers for Supervised Online Continual Learning J Bornschein, Y Li, A Rannen-Triki arXiv preprint arXiv:2403.01554, 2024 | | 2024 |
Practical Kernel Tests of Conditional Independence R Pogodin, A Schrab, Y Li, DJ Sutherland, A Gretton arXiv preprint arXiv:2402.13196, 2024 | | 2024 |
Evaluating Representations with Readout Model Switching Y Li, J Bornschein, M Hutter The Eleventh International Conference on Learning Representations. 2022., 2023 | | 2023 |
Numerical Simulation of Failure Process in Heterogeneous Elastoplastic Materials ZH Yao, MW Yuan, Y Li, Y Chen Computational Methods in Engineering & Science: Proceedings of “Enhancement …, 2007 | | 2007 |